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Mapping and Functional Analysis of QTL for Kernel Number per Row in Tropical and Temperate-Tropical Introgression Lines of Maize (Zea mays L.)

文献类型： 外文期刊

作者： Wang, Yuling 1 ; Bi, Yaqi 2 ; Jiang, Fuyan 2 ; Shaw, Ranjan Kumar 2 ; Sun, Jiachen 3 ; Hu, Can 1 ; Guo, Ruijia 2 ; Fan, Xingming 2 ;

作者机构： 1.Yunnan Univ, Inst Resource Plants, Kunming 650504, Peoples R China

2.Yunnan Acad Agr Sci, Inst Food Crops, Kunming 650205, Peoples R China

3.Yunnan Agr Univ, Coll Agron & Biotechnol, Kunming 650500, Peoples R China

关键词： KNR; quantitative trait locus; genome-wide association study; candidate gene; heterotic pattern

期刊名称：CURRENT ISSUES IN MOLECULAR BIOLOGY （ 影响因子：3.1； 五年影响因子：3.3 ）

ISSN： 1467-3037

年卷期： 2023 年 45 卷 5 期

页码：

收录情况： SCI

摘要： Kernel number per row (KNR) is an essential component of maize (Zea mays L.) grain yield (GY), and understanding its genetic mechanism is crucial to improve GY. In this study, two F-7 recombinant inbred line (RIL) populations were created using a temperate-tropical introgression line TML418 and a tropical inbred line CML312 as female parents and a backbone maize inbred line Ye107 as the common male parent. Bi-parental quantitative trait locus (QTL) mapping and genome-wide association analysis (GWAS) were then performed on 399 lines of the two maize RIL populations for KNR in two different environments using 4118 validated single nucleotide polymorphism (SNP) markers. This study aimed to: (1) detect molecular markers and/or the genomic regions associated with KNR; (2) identify the candidate genes controlling KNR; and (3) analyze whether the candidate genes are useful in improving GY. The authors reported a total of 7 QTLs tightly linked to KNR through bi-parental QTL mapping and identified 21 SNPs significantly associated with KNR through GWAS. Among these, a highly confident locus qKNR7-1 was detected at two locations, Dehong and Baoshan, with both mapping approaches. At this locus, three novel candidate genes (Zm00001d022202, Zm00001d022168, Zm00001d022169) were identified to be associated with KNR. These candidate genes were primarily involved in the processes related to compound metabolism, biosynthesis, protein modification, degradation, and denaturation, all of which were related to the inflorescence development affecting KNR. These three candidate genes were not reported previously and are considered new candidate genes for KNR. The progeny of the hybrid Ye107 x TML418 exhibited strong heterosis for KNR, which the authors believe might be related to qKNR7-1. This study provides a theoretical foundation for future research on the genetic mechanism underlying KNR in maize and the use of heterotic patterns to develop high-yielding hybrids.

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